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ORCIDLav R. Varshney
Lav Raj Varshney
Person information
- affiliation: University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, IL, USA
- affiliation (former): IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (former): Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, Cambridge, MA, USA
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Books and Theses
- 2010
[b1]Lav R. Varshney:
Unreliable and resource-constrained decoding. Massachusetts Institute of Technology, Cambridge, MA, USA, 2010
Journal Articles
- 2024
- [j70]Xi Cheng, Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney:
On Carsharing Platforms With Electric Vehicles as Energy Service Providers. IEEE Trans. Intell. Transp. Syst. 25(7): 8158-8170 (2024) - 2023
- [j69]Akhil Bhimaraju
, Avhishek Chatterjee, Lav R. Varshney:
Dynamic Resource Allocation to Minimize Concave Costs of Shortfalls. IEEE Control. Syst. Lett. 7: 3633-3638 (2023) - [j68]Haizi Yu, James A. Evans, Lav R. Varshney:
Information Lattice Learning. J. Artif. Intell. Res. 77: 971-1019 (2023) - [j67]Haizi Yu, Igor Mineyev, Lav R. Varshney:
A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering. J. Mach. Learn. Res. 24: 47:1-47:61 (2023) - [j66]Yongjune Kim, Junyoung Shin, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classification Over Noisy Communication Channels. IEEE J. Sel. Areas Commun. 41(1): 141-154 (2023) - 2022
- [j65]Sourya Basu, Lav R. Varshney:
Universal and Succinct Source Coding of Deep Neural Networks. IEEE J. Sel. Areas Inf. Theory 3(4): 732-745 (2022) - [j64]Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-Based Source Codes for Function Computation Under Maximal Distortion. IEEE J. Sel. Areas Inf. Theory 3(4): 824-838 (2022) - [j63]Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau:
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. Sensors 22(3): 853 (2022) - [j62]Payel Das, Lav R. Varshney:
Explaining Artificial Intelligence Generation and Creativity: Human interpretability for novel ideas and artifacts. IEEE Signal Process. Mag. 39(4): 85-95 (2022) - [j61]Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan:
Nonstationary Reinforcement Learning with Linear Function Approximation. Trans. Mach. Learn. Res. 2022 (2022) - [j60]Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale:
Short and Wide Network Paths. IEEE Trans. Netw. Sci. Eng. 9(2): 524-537 (2022) - [j59]Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney:
Expected Extinction Times of Epidemics With State-Dependent Infectiousness. IEEE Trans. Netw. Sci. Eng. 9(3): 1104-1116 (2022) - 2021
- [j58]Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini:
Wireless Network Coding With Intelligent Reflecting Surfaces. IEEE Commun. Lett. 25(10): 3427-3431 (2021) - [j57]Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini:
Guest Editoral Signal Processing Advances in Wireless Transmission of Information and Power. IEEE J. Sel. Top. Signal Process. 15(5): 1056-1059 (2021) - [j56]Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini:
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. IEEE J. Sel. Top. Signal Process. 15(5): 1060-1094 (2021) - [j55]Haizi Yu, Igor Mineyev, Lav R. Varshney:
Orbit Computation for Atomically Generated Subgroups of Isometries of ℤn. SIAM J. Appl. Algebra Geom. 5(3): 479-505 (2021) - [j54]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Skip-Sliding Window Codes. IEEE Trans. Commun. 69(5): 2824-2836 (2021) - [j53]Daewon Seo, Lav R. Varshney:
The CEO Problem With rth Power of Difference and Logarithmic Distortions. IEEE Trans. Inf. Theory 67(6): 3873-3891 (2021) - [j52]Ravi Kiran Raman, Lav R. Varshney:
Coding for Scalable Blockchains via Dynamic Distributed Storage. IEEE/ACM Trans. Netw. 29(6): 2588-2601 (2021) - [j51]Ankur Mani, Lav R. Varshney, Alex Pentland:
Quantization Games on Social Networks and Language Evolution. IEEE Trans. Signal Process. 69: 3922-3934 (2021) - [j50]Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Decision Making in Star Networks With Incorrect Beliefs. IEEE Trans. Signal Process. 69: 6221-6236 (2021) - 2020
- [j49]Avhishek Chatterjee, Lav R. Varshney:
Energy-Reliability Limits in Nanoscale Feedforward Neural Networks and Formulas. IEEE J. Sel. Areas Inf. Theory 1(1): 250-266 (2020) - [j48]Daewon Seo, Avhishek Chatterjee, Lav R. Varshney:
On Multiple-Access in Queue-Length Sensitive Systems. IEEE Open J. Commun. Soc. 1: 1244-1255 (2020) - [j47]Daewon Seo, Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini:
Classes of Full-Duplex Channels With Capacity Achieved Without Adaptation. IEEE Trans. Commun. 68(7): 4141-4149 (2020) - [j46]Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Outage-Constrained Rate of Skip-Sliding Window Codes. IEEE Trans. Green Commun. Netw. 4(2): 506-514 (2020) - [j45]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
The Bee-Identification Error Exponent With Absentee Bees. IEEE Trans. Inf. Theory 66(12): 7602-7614 (2020) - 2019
- [j44]Lav R. Varshney:
Mathematical limit theorems for computational creativity. IBM J. Res. Dev. 63(1): 2:1-2:12 (2019) - [j43]Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee:
A big data approach to computational creativity: The curious case of Chef Watson. IBM J. Res. Dev. 63(1): 7:1-7:18 (2019) - [j42]Yongjune Kim, Ravi Kiran Raman, Young-Sik Kim, Lav R. Varshney, Naresh R. Shanbhag:
Efficient Local Secret Sharing for Distributed Blockchain Systems. IEEE Commun. Lett. 23(2): 282-285 (2019) - [j41]Naresh R. Shanbhag, Naveen Verma, Yongjune Kim, Ameya D. Patil, Lav R. Varshney:
Shannon-Inspired Statistical Computing for the Nanoscale Era. Proc. IEEE 107(1): 90-107 (2019) - [j40]Noyan Cem Sevüktekin, Lav R. Varshney, Pavan Kumar Hanumolu, Andrew C. Singer:
Signal Processing Foundations for Time-Based Signal Representations: Neurobiological parallels to engineered systems designed for energy efficiency or hardware simplicity. IEEE Signal Process. Mag. 36(6): 38-50 (2019) - [j39]Lav R. Varshney:
Must Surprise Trump Information? IEEE Technol. Soc. Mag. 38(1): 81-87 (2019) - [j38]Daewon Seo, Lav R. Varshney:
Information and Energy Transmission With Experimentally Sampled Harvesting Functions. IEEE Trans. Commun. 67(6): 4479-4490 (2019) - [j37]Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan:
On the Throughput of Channels That Wear Out. IEEE Trans. Commun. 67(8): 5311-5320 (2019) - [j36]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
The Bee-Identification Problem: Bounds on the Error Exponent. IEEE Trans. Commun. 67(11): 7405-7416 (2019) - [j35]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Are Run-Length Limited Codes Suitable for Simultaneous Energy and Information Transfer? IEEE Trans. Green Commun. Netw. 3(4): 988-996 (2019) - [j34]Daewon Seo, Ravi Kiran Raman, Joong Bum Rhim, Vivek K. Goyal, Lav R. Varshney:
Beliefs in Decision-Making Cascades. IEEE Trans. Signal Process. 67(19): 5103-5117 (2019) - 2018
- [j33]Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, Yoshiki Ishikawa:
A Neural Network System for Transformation of Regional Cuisine Style. Frontiers ICT 5: 14 (2018) - [j32]Ravi Kiran Raman, Lav R. Varshney:
Universal Joint Image Clustering and Registration Using Multivariate Information Measures. IEEE J. Sel. Top. Signal Process. 12(5): 928-943 (2018) - [j31]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-Filling for Source-Aware Energy-Efficient SRAMs. IEEE Trans. Commun. 66(10): 4826-4841 (2018) - [j30]Avhishek Chatterjee, Michael Borokhovich, Lav R. Varshney, Sriram Vishwanath:
Efficient and Flexible Crowdsourcing of Specialized Tasks With Precedence Constraints. IEEE/ACM Trans. Netw. 26(2): 879-892 (2018) - [j29]Aditya Vempaty, Lav R. Varshney, Gregory J. Koop, Amy H. Criss, Pramod K. Varshney:
Experiments and Models for Decision Fusion by Humans in Inference Networks. IEEE Trans. Signal Process. 66(11): 2960-2971 (2018) - 2017
- [j28]Nina Kshetry, Lav R. Varshney:
Foodsheds in Virtual Water Flow Networks: A Spectral Graph Theory Approach. Frontiers ICT 4: 17 (2017) - [j27]Ilan Lobel, Evan Sadler, Lav R. Varshney:
Customer Referral Incentives and Social Media. Manag. Sci. 63(10): 3514-3529 (2017) - [j26]Lav R. Varshney, Kush R. Varshney:
Decision Making With Quantized Priors Leads to Discrimination. Proc. IEEE 105(2): 241-255 (2017) - [j25]Linjia Chang, Avhishek Chatterjee, Lav R. Varshney:
Performance of LDPC Decoders With Missing Connections. IEEE Trans. Commun. 65(2): 511-524 (2017) - [j24]Avhishek Chatterjee, Daewon Seo, Lav R. Varshney:
Capacity of Systems with Queue-Length Dependent Service Quality. IEEE Trans. Inf. Theory 63(6): 3950-3963 (2017) - [j23]Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney:
Queuing Approaches to Principal-Agent Communication Under Information Overload. IEEE Trans. Inf. Theory 63(9): 6041-6058 (2017) - [j22]Avhishek Chatterjee, Lav R. Varshney, Sriram Vishwanath:
Work Capacity of Regulated Freelance Platforms: Fundamental Limits and Decentralized Schemes. IEEE/ACM Trans. Netw. 25(6): 3641-3654 (2017) - [j21]Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Multi-Object Classification via Crowdsourcing With a Reject Option. IEEE Trans. Signal Process. 65(4): 1068-1081 (2017) - 2016
- [j20]Kush R. Varshney, Lav R. Varshney:
Olfactory signal processing. Digit. Signal Process. 48: 84-92 (2016) - [j19]Lav R. Varshney:
Fundamental Limits of Data Analytics in Sociotechnical Systems. Frontiers ICT 3: 2 (2016) - [j18]Lav R. Varshney, Julius Kusuma, Vivek K. Goyal:
Malleable Coding for Updatable Cloud Caching. IEEE Trans. Commun. 64(12): 4946-4955 (2016) - [j17]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer. IEEE Trans. Inf. Theory 62(7): 4212-4227 (2016) - [j16]Lav R. Varshney, Julius Kusuma, Vivek K. Goyal:
On Palimpsests in Neural Memory: An Information Theory Viewpoint. IEEE Trans. Mol. Biol. Multi Scale Commun. 2(2): 143-153 (2016) - 2015
- [j15]Aditya Vempaty, Lav R. Varshney:
The Non-Regular CEO Problem. IEEE Trans. Inf. Theory 61(5): 2764-2775 (2015) - 2014
- [j14]Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Reliable Crowdsourcing for Multi-Class Labeling Using Coding Theory. IEEE J. Sel. Top. Signal Process. 8(4): 667-679 (2014) - [j13]Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney:
Noise Facilitation in Associative Memories of Exponential Capacity. Neural Comput. 26(11): 2493-2526 (2014) - [j12]Hao Chen, Lav R. Varshney, Pramod K. Varshney:
Noise-Enhanced Information Systems. Proc. IEEE 102(10): 1607-1621 (2014) - [j11]Kush R. Varshney, Lav R. Varshney:
Optimal Grouping for Group Minimax Hypothesis Testing. IEEE Trans. Inf. Theory 60(10): 6511-6521 (2014) - 2013
- [j10]Lav R. Varshney:
The Wiring Economy Principle for Designing Inference Networks. IEEE J. Sel. Areas Commun. 31(6): 1095-1104 (2013) - 2012
- [j9]Lav R. Varshney:
The Google effect in doctoral theses. Scientometrics 92(3): 785-793 (2012) - [j8]Lav R. Varshney, Sanjoy K. Mitter, Vivek K. Goyal:
An Information-Theoretic Characterization of Channels That Die. IEEE Trans. Inf. Theory 58(9): 5711-5724 (2012) - [j7]Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal:
Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing. IEEE Trans. Signal Process. 60(9): 4537-4550 (2012) - 2011
- [j6]Lav R. Varshney, Sanjoy K. Mitter:
Sensitivity of Quadratic Gaussian Matching to Interference. IEEE Commun. Lett. 15(9): 922-924 (2011) - [j5]Lav R. Varshney, Beth L. Chen, Eric Paniagua, David H. Hall, Dmitri B. Chklovskii:
Structural Properties of the Caenorhabditis elegans Neuronal Network. PLoS Comput. Biol. 7(2) (2011) - [j4]Lav R. Varshney:
Performance of LDPC Codes Under Faulty Iterative Decoding. IEEE Trans. Inf. Theory 57(7): 4427-4444 (2011) - [j3]Vinith Misra, Vivek K. Goyal, Lav R. Varshney:
Distributed Scalar Quantization for Computing: High-Resolution Analysis and Extensions. IEEE Trans. Inf. Theory 57(8): 5298-5325 (2011) - 2010
- [j2]Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal:
Concentric Permutation Source Codes. IEEE Trans. Commun. 58(11): 3154-3164 (2010) - 2008
- [j1]Kush R. Varshney, Lav R. Varshney:
Quantization of Prior Probabilities for Hypothesis Testing. IEEE Trans. Signal Process. 56(10-1): 4553-4562 (2008)
Conference and Workshop Papers
- 2023
- [c138]Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das:
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. AAAI 2023: 6788-6796 - [c137]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. AAAI 2023: 7175-7183 - [c136]Ian George, Xinan Chen, Lav R. Varshney:
Search for Extraterrestrial Intelligence as One-Shot Hypothesis Testing. CISS 2023: 1-6 - [c135]Alayt Issak, Lav R. Varshney:
Prompt Programming for the Visual Domain. Tiny Papers @ ICLR 2023 - [c134]Nathaniel Bleier, Abigail Wezelis, Lav R. Varshney, Rakesh Kumar:
Programmable Olfactory Computing. ISCA 2023: 26:1-26:14 - [c133]Kush R. Varshney, Lav R. Varshney:
A Banal Account of a Safety-Creativity Tradeoff in Generative AI 163-165. IUI Workshops 2023: 163-165 - [c132]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs Campbell, Payel Das, Lav R. Varshney:
Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS 2023 - 2022
- [c131]Sam Spencer, Lav R. Varshney:
Awareness-Constrained Discrete Choice in Multilayer Network Formation and Evolution. IEEECONF 2022: 1269-1275 - [c130]Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney:
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. COMPASS 2022: 340-352 - [c129]Alayt Issak, Lav R. Varshney:
Artistic Autonomy in AI Art. ICCC 2022: 170-174 - [c128]Akhil Bhimaraju, Lav R. Varshney:
Scheduling Group Tests over Time. ISIT 2022: 886-891 - [c127]Xinbo Wu, Alexandru Hanganu, Ayuko Hoshino, Lav R. Varshney:
Source Identification for Exosomal Communication via Protein Language Models. MLSP 2022: 1-6 - 2021
- [c126]Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao:
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. AAAI 2021: 10156-10164 - [c125]Pankaj Sharma, Lav R. Varshney:
Rational Inattention in Choice Overload: Clustering for Discrete Choices. ACSCC 2021: 1297-1301 - [c124]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES 2021: 884-894 - [c123]Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney:
The Twelvefold Way of Non-Sequential Lossless Compression. DCC 2021: 336 - [c122]Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao:
Near-Optimal Algorithms for Piecewise-Stationary Cascading Bandits. ICASSP 2021: 3365-3369 - [c121]Venkata Sriram Siddhardh Nadendla, Lav R. Varshney:
A Predicament in Securing Blockchain Consensus via Controlling Cryptopuzzle Difficulty. IEEE ICBC 2021: 1-8 - [c120]Haizi Yu, James A. Evans, Donna Gallo, Adam Kruse, William M. Patterson, Lav R. Varshney:
AI-Aided Co-Creation for Wellbeing. ICCC 2021: 453-456 - [c119]Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: a Neural Text decoding Algorithm that directly controls perplexity. ICLR 2021 - [c118]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR 2021 - [c117]Elsa Dupraz, Lav R. Varshney, François Leduc-Primeau:
Power-Efficient Deep Neural Networks with Noisy Memristor Implementation. ITW 2021: 1-5 - [c116]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS 2021: 9367-9377 - [c115]Sam Spencer, Lav R. Varshney:
Social Bubbles and Superspreaders: Source Identification for Contagion Processes on Hypertrees. SSP 2021: 471-475 - 2020
- [c114]Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim:
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. AAAI 2020: 6933-6940 - [c113]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Distributed Boosting Classifiers over Noisy Channels. ACSSC 2020: 1491-1496 - [c112]Sourya Basu, Daewon Seo, Lav R. Varshney:
Functional Epsilon Entropy. DCC 2020: 332-341 - [c111]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard Englishes with Base-Inflection Encoding. EMNLP (1) 2020: 5647-5663 - [c110]Lav R. Varshney:
Limits Theorems for Creativity with Intentionality. ICCC 2020: 390-393 - [c109]Elsa Dupraz, Lav R. Varshney:
Noisy In-Memory Recursive Computation with Memristor Crossbars. ISIT 2020: 804-809 - [c108]Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Social Learning with Beliefs in a Parallel Network. ISIT 2020: 1265-1270 - [c107]Ravi Kiran Raman, Lav R. Varshney:
Registration of Finite Resolution Images: a Second-order Analysis. ISIT 2020: 2320-2325 - [c106]Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-based Coding Schemes for Two Source Coding Problems under Maximal Distortion. ISIT 2020: 2426-2431 - [c105]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
Bee-Identification Error Exponent with Absentee Bees. ISIT 2020: 2891-2896 - [c104]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. ITA 2020: 1-5 - [c103]Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. WWW (Companion Volume) 2020: 181-184 - 2019
- [c102]Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney:
Ridesharing Systems with Electric Vehicles. ACC 2019: 3329-3334 - [c101]Rebecca Chen, Abhinav B. Das, Lav R. Varshney:
Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures. CISS 2019: 1-6 - [c100]Theodoros Mamalis, Subhonmesh Bose, Lav R. Varshney:
Business-to-Peer Carsharing Systems with Electric Vehicles. CISS 2019: 1-6 - [c99]Rebecca Chen, Lav R. Varshney:
Non-Negative Matrix Factorization of Clustered Data with Missing Values. DSW 2019: 180-184 - [c98]Huozhi Zhou, Ashish Jagmohan, Lav R. Varshney:
Generalized Jordan Center: A Source Localization Heuristic For Noisy And Incomplete Observations. DSW 2019: 243-247 - [c97]Helena H. Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. PDH 2019: 31-35 - [c96]Nina Kshetry, Lav R. Varshney:
Safety in the Face of Unknown Unknowns: Algorithm Fusion in Data-driven Engineering Systems. ICASSP 2019: 8162-8166 - [c95]Daewon Seo, Lav R. Varshney:
Information and Energy Transmission with Experimentally-Sampled Harvesting Functions. ISIT 2019: 126-130 - [c94]Elsa Dupraz, Lav R. Varshney:
Binary Recursive Estimation on Noisy Hardware. ISIT 2019: 877-881 - [c93]Daewon Seo, Lav R. Varshney:
The CEO Problem with rth Power of Difference Distortion. ISIT 2019: 2034-2038 - [c92]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Multicasting Energy and Information Simultaneously. ISIT 2019: 2494-2498 - [c91]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
Random Coding Error Exponent for the Bee-Identification Problem. ITW 2019: 1-5 - [c90]Ting-Yi Wu, Anshoo Tandon, Mehul Motani, Lav R. Varshney:
On the Outage-Constrained Rate of Skip-Sliding Window Codes. ITW 2019: 1-5 - [c89]Sourya Basu, Lav R. Varshney:
Polar Codes for Simultaneous Information and Energy Transmission. SPAWC 2019: 1-5 - 2018
- [c88]Deepak Somaya, Lav R. Varshney:
Embodiment, Anthropomorphism, and Intellectual Property Rights for AI Creations. AIES 2018: 278-283 - [c87]Ting-Yi Wu, Xiou Ge, Lav R. Varshney:
Surprising sequences for communication and conversation. CISS 2018: 1-6 - [c86]Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Probability Reweighting in Social Learning: Optimality and Suboptimality. ICASSP 2018: 6966-6970 - [c85]Dharmashankar Subramanian, Debarun Bhattacharjya, Lav R. Varshney:
Generalization across Contexts in Unsupervised Computational Creativity. ICCC 2018: 40-47 - [c84]Jinjun Xiong, Xiou Ge, Lav R. Varshney:
Computational Creativity for Valid Rube Goldberg Machines. ICCC 2018: 72-79 - [c83]Daewon Seo, Avhishek Chatterjee, Lav R. Varshney:
On Multiuser Systems with Queue-Length Dependent Service Quality. ISIT 2018: 341-345 - [c82]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
SRAM Bit-line Swings Optimization using Generalized Waterfilling. ISIT 2018: 1670-1674 - [c81]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Skip-Sliding Window Codes. ISIT 2018: 1799-1803 - [c80]Ravi Kiran Raman, Lav R. Varshney:
Dynamic Distributed Storage for Blockchains. ISIT 2018: 2619-2623 - [c79]Ravi Kiran Raman, Lav R. Varshney:
Distributed Storage Meets Secret Sharing on the Blockchain. ITA 2018: 1-6 - 2017
- [c78]Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta:
A game-theoretic approach to a task delegation problem. ACSSC 2017: 1271-1276 - [c77]Avhishek Chatterjee, Lav R. Varshney:
Energy-reliability limits in nanoscale neural networks. CISS 2017: 1-6 - [c76]Mayank Amencherla, Lav R. Varshney:
Color-based visual sentiment for social communication. CWIT 2017: 1-5 - [c75]Ameya Patil, Naresh R. Shanbhag, Lav R. Varshney, Eric Pop, H.-S. Philip Wong, Subhasish Mitra, Jan M. Rabaey, Jeffrey A. Weldon, Larry T. Pileggi, Sasikanth Manipatruni, Dmitri E. Nikonov, Ian A. Young:
A Systems Approach to Computing in Beyond CMOS Fabrics: Invited. DAC 2017: 18:1-18:2 - [c74]Sourya Basu, Lav R. Varshney:
Universal Source Coding of Deep Neural Networks. DCC 2017: 310-319 - [c73]Brooke S. Newell, Lav R. Varshney:
The first cohort in a new innovation, leadership, and engineering entrepreneurship B. S. degree program. FIE 2017: 1-6 - [c72]Haizi Yu, Lav R. Varshney:
Towards Deep Interpretability (MUS-ROVER II): Learning Hierarchical Representations of Tonal Music. ICLR (Poster) 2017 - [c71]Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini:
The capacity of injective semi-deterministic two-way channels. ISIT 2017: 431-435 - [c70]Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan:
Communication over a channel that wears out. ISIT 2017: 581-585 - [c69]Avhishek Chatterjee, Lav R. Varshney:
Towards optimal quantization of neural networks. ISIT 2017: 1162-1166 - [c68]Ravi Kiran Raman, Lav R. Varshney:
Budget-optimal clustering via crowdsourcing. ISIT 2017: 2163-2167 - [c67]Ravi Kiran Raman, Lav R. Varshney:
Universal joint image clustering and registration using partition information. ISIT 2017: 2168-2172 - [c66]Ravi Kiran Raman, Haizi Yu, Lav R. Varshney:
Illum information. ITA 2017: 1-6 - [c65]Haizi Yu, Tianxi Li, Lav R. Varshney:
Probabilistic Rule Realization and Selection. NIPS 2017: 1562-1572 - 2016
- [c64]Mehmet A. Donmez, Maxim Raginsky, Andrew C. Singer, Lav R. Varshney:
Cost-performance tradeoffs in unreliable computation architectures. ACSSC 2016: 215-219 - [c63]Lav R. Varshney, Kush R. Varshney:
Fidelity loss in distribution-preserving anonymization and histogram equalization. CISS 2016: 24-29 - [c62]Feng Ji, Wee Peng Tay, Lav R. Varshney:
Estimating the number of infection sources in a tree. GlobalSIP 2016: 380-384 - [c61]Song Jianhan, Vei Wang Isaac Phua, Lav R. Varshney:
Distributed estimation via paid crowd work. ICASSP 2016: 6200-6204 - [c60]Lav R. Varshney:
Bottleneck capacity of random graphs for connectomics. ICASSP 2016: 6305-6309 - [c59]Daewon Seo, Lav R. Varshney:
Information-theoretic limits of algorithmic noise tolerance. ICRC 2016: 1-4 - [c58]Avhishek Chatterjee, Michael Borokhovich, Lav R. Varshney, Sriram Vishwanath:
Efficient and flexible crowdsourcing of specialized tasks with precedence constraints. INFOCOM 2016: 1-9 - [c57]Linjia Chang, Avhishek Chatterjee, Lav R. Varshney:
LDPC decoders with missing connections. ISIT 2016: 1576-1580 - [c56]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Subblock energy-constrained codes for simultaneous energy and information transfer. ISIT 2016: 1969-1973 - [c55]Avhishek Chatterjee, Daewon Seo, Lav R. Varshney:
Capacity of systems with queue-length dependent service quality. ISITA 2016: 552-556 - [c54]Avhishek Chatterjee, Lav R. Varshney:
Energy-reliability limits in nanoscale circuits. ITA 2016: 1-6 - [c53]Lav R. Varshney, Preethi Jyothi, Mark Hasegawa-Johnson:
Language coverage for mismatched crowdsourcing. ITA 2016: 1-9 - [c52]Wenda Chen, Mark Hasegawa-Johnson, Nancy F. Chen, Preethi Jyothi, Lav R. Varshney:
Clustering-based Phonetic Projection in Mismatched Crowdsourcing Channels for Low-resourced ASR. WSSANLP@COLING 2016: 133-141 - 2015
- [c51]Aditya Vempaty, Lav R. Varshney, Gregory J. Koop, Amy H. Criss, Pramod K. Varshney:
Decision fusion by people: Experiments, models, and sociotechnical system design. GlobalSIP 2015: 83-87 - [c50]Avhishek Chatterjee, Lav R. Varshney, Sriram Vishwanath:
Work capacity of freelance markets: Fundamental limits and decentralized schemes. INFOCOM 2015: 1769-1777 - [c49]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Real-time simultaneous energy and information transfer. ISIT 2015: 1124-1128 - [c48]Mina Karzand, Lav R. Varshney:
Communication strategies for low-latency trading. ISIT 2015: 2121-2125 - [c47]Aditya Vempaty, Lav R. Varshney:
CEO problem for belief sharing. ITW 2015: 1-5 - [c46]Lav R. Varshney:
Toward limits of constructing reliable memories from unreliable components. ITW Fall 2015: 114-118 - [c45]Ilan Lobel, Evan Sadler, Lav R. Varshney:
Customer Referral Incentives and Social Media. EC 2015: 451 - 2014
- [c44]Florian Pinel, Lav R. Varshney:
Computational creativity for culinary recipes. CHI Extended Abstracts 2014: 439-442 - [c43]Lav R. Varshney, Krishna C. Ratakonda:
An Information-Theoretic View of Cloud Workloads. IC2E 2014: 466-471 - [c42]Ashish Jagmohan, Ying Li, Nan Shao, Anshul Sheopuri, Dashun Wang, Lav R. Varshney, Pu Huang:
Exploring Application Domains for Computational Creativity. ICCC 2014: 328-331 - [c41]Aditya Vempaty, Yunghsiang S. Han, Lav R. Varshney, Pramod K. Varshney:
Coding theory for reliable signal processing. ICNC 2014: 200-205 - [c40]Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney:
Information overload and human priority queuing. ISIT 2014: 831-835 - [c39]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
On code design for simultaneous energy and information transfer. ITA 2014: 1-6 - [c38]Lav R. Varshney, Aditya Vempaty, Pramod K. Varshney:
Assuring privacy and reliability in crowdsourcing with coding. ITA 2014: 1-6 - [c37]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Constant subblock composition codes for simultaneous energy and information transfer. SECON Workshops 2014: 45-50 - [c36]Kush R. Varshney, Lav R. Varshney:
FOOD steganography with olfactory white. SSP 2014: 21-24 - [c35]Kush R. Varshney, Lav R. Varshney:
Active odor cancellation. SSP 2014: 25-28 - 2013
- [c34]Lav R. Varshney, Florian Pinel, Kush R. Varshney, Angela Schörgendorfer, Yi-Min Chee:
Cognition as a part of computational creativity. ICCI*CC 2013: 36-43 - [c33]Ankur Mani, Lav R. Varshney, Alex Pentland:
Quantization Games on Networks. DCC 2013: 291-300 - [c32]Sameep Mehta, Rakesh Pimplikar, Amit Singh, Lav R. Varshney, Karthik Visweswariah:
Efficient multifaceted screening of job applicants. EDBT 2013: 661-671 - [c31]Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Reliable classification by unreliable crowds. ICASSP 2013: 5558-5562 - [c30]Lav R. Varshney:
Two way communication over exponential family type channels. ISIT 2013: 2795-2799 - [c29]Lav R. Varshney:
To surprise and inform. ISIT 2013: 3145-3149 - [c28]Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney:
Noise-Enhanced Associative Memories. NIPS 2013: 1682-1690 - 2012
- [c27]Lav R. Varshney:
Participation in crowd systems. Allerton Conference 2012: 996-1001 - [c26]Gireeja Ranade, Lav Raj Varshney:
To Crowdsource or Not To Crowdsource? HCOMP@AAAI 2012 - [c25]Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal:
Benefits of collaboration and diversity in teams of categorically-thinking decision makers. SAM 2012: 181-184 - [c24]Lav R. Varshney:
On energy/information cross-layer architectures. ISIT 2012: 1356-1360 - [c23]Lav R. Varshney, Pulkit Grover, Anant Sahai:
Securing inductively-coupled communication. ITA 2012: 47-53 - [c22]Lav R. Varshney:
Privacy and Reliability in Crowdsourcing Service Delivery. SRII Global Conference 2012: 55-60 - [c21]Roman Vaculín, Yi-Min Chee, Daniel V. Oppenheim, Lav R. Varshney:
Work as a Service Meta-model and Protocol for Adjustable Visibility, Coordination, and Control. SRII Global Conference 2012: 90-99 - [c20]Lior Limonad, Lav R. Varshney, Daniel V. Oppenheim, Elad Fein, Pnina Soffer, Yair Wand, Moran Gavish, Ateret Anaby-Tavor:
The WaaSaBE Model: Marrying WaaS and Business-Entities to Support Cross-Organization Collaboration. SRII Global Conference 2012: 303-312 - [c19]Daniel V. Oppenheim, Yi-Min Chee, Lav R. Varshney:
Allegro: A Metrics Framework for Globally Distributed Service Delivery. SRII Global Conference 2012: 461-469 - 2011
- [c18]Lav R. Varshney, Devavrat Shah:
Informational limits of neural circuits. Allerton 2011: 1757-1763 - [c17]Lav R. Varshney, Daniel V. Oppenheim:
On Cross-Enterprise Collaboration. BPM 2011: 29-37 - [c16]Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal:
Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities. DCC 2011: 303-312 - [c15]Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal:
Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities. DCC 2011: 313-322 - [c14]Daniel V. Oppenheim, Lav R. Varshney, Yi-Min Chee:
Work as a Service. ICSOC 2011: 669-678 - [c13]Julius Kusuma, Lav R. Varshney, Vivek K. Goyal:
Malleable coding with fixed segment reuse. ISIT 2011: 568-572 - [c12]Lav R. Varshney, Joong Bum Rhim, Kush R. Varshney, Vivek K. Goyal:
Categorical decision making by people, committees, and crowds. ITA 2011: 425-434 - [c11]Alyson K. Fletcher, Sundeep Rangan, Lav R. Varshney, Aniruddha Bhargava:
Neural Reconstruction with Approximate Message Passing (NeuRAMP). NIPS 2011: 2555-2563 - 2010
- [c10]Lav R. Varshney:
Distributed inference networks with costly wires. ACC 2010: 1053-1058 - [c9]Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney:
Frame permutation quantization. CISS 2010: 1-6 - 2009
- [c8]Lav R. Varshney, Sanjoy K. Mitter, Vivek K. Goyal:
Channels that die. Allerton 2009: 566-573 - [c7]Lav R. Varshney, Julius Kusuma, Vivek K. Goyal:
Malleable coding with edit-distance cost. ISIT 2009: 204-208 - [c6]Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney:
On concentric spherical codes and permutation codes with multiple initial codewords. ISIT 2009: 2038-2042 - 2008
- [c5]Vinith Misra, Vivek K. Goyal, Lav R. Varshney:
High-Resolution Functional Quantization. DCC 2008: 113-122 - [c4]Kush R. Varshney, Lav R. Varshney:
Minimum mean bayes risk error quantization of prior probabilities. ICASSP 2008: 3445-3448 - [c3]Lav R. Varshney:
Transporting information and energy simultaneously. ISIT 2008: 1612-1616 - [c2]Lav R. Varshney:
Meeting Shannon: Information-theoretic thinking in engineering and science. ITW 2008: 5 - 2006
- [c1]Lav R. Varshney, Vivek K. Goyal:
Toward a Source Coding Theory for Sets. DCC 2006: 13-22
Parts in Books or Collections
- 2014
- [p2]Daniel V. Oppenheim, Lav R. Varshney, Yi-Min Chee:
Work as a Service. Advanced Web Services 2014: 409-430 - 2013
- [p1]Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal:
Distributed Decision Making by Categorically-Thinking Agents. Decision Making and Imperfection 2013: 37-63
Informal and Other Publications
- 2024
- [i111]Xinbo Wu, Lav R. Varshney:
Transformer-based Causal Language Models Perform Clustering. CoRR abs/2402.12151 (2024) - [i110]Seyed Mohammad Azimi-Abarghouyi, Lav R. Varshney:
Federated Learning via Lattice Joint Source-Channel Coding. CoRR abs/2403.01023 (2024) - [i109]Haizi Yu, Lav R. Varshney:
Semantic Compression with Information Lattice Learning. CoRR abs/2404.03131 (2024) - [i108]Razan Baltaji, Babak Hemmatian, Lav R. Varshney:
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration. CoRR abs/2405.03862 (2024) - 2023
- [i107]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Learning Optimal Features via Partial Invariance. CoRR abs/2301.12067 (2023) - [i106]Xiou Ge, Sarah E. Brown, Pushpendra Rana, Lav R. Varshney, Daniel C. Miller:
Network Analysis as a Tool for Shaping Conservation and Development Policy: A Case Study of Timber Market Optimization in India. CoRR abs/2304.13907 (2023) - [i105]Ibtihal Ferwana, Suyoung Park, Ting-Yi Wu, Lav R. Varshney:
Designing Discontinuities. CoRR abs/2305.08559 (2023) - [i104]Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney:
Equivariant Few-Shot Learning from Pretrained Models. CoRR abs/2305.09900 (2023) - [i103]Ramakrishna Kanungo, Swamynathan Siva, Nathaniel Bleier, Muhammad Husnain Mubarik, Lav R. Varshney, Rakesh Kumar:
Understanding Interactions Between Chip Architecture and Uncertainties in Semiconductor Supply and Demand. CoRR abs/2305.11059 (2023) - [i102]Sourya Basu, Moulik Choraria, Lav R. Varshney:
Transformers are Universal Predictors. CoRR abs/2307.07843 (2023) - [i101]Bishal Kumar Das, Lav R. Varshney, Vaibhav Madhok:
On Simultaneous Information and Energy Transmission through Quantum Channels. CoRR abs/2309.13691 (2023) - [i100]Akhil Bhimaraju, S. Rasoul Etesami, Lav R. Varshney:
Dynamic Batching of Online Arrivals to Leverage Economies of Scale. CoRR abs/2309.16911 (2023) - [i99]Xinbo Wu, Lav R. Varshney:
A Meta-Learning Perspective on Transformers for Causal Language Modeling. CoRR abs/2310.05884 (2023) - [i98]Razan Baltaji, Sourya Basu, Lav R. Varshney:
Efficient Model-Agnostic Multi-Group Equivariant Networks. CoRR abs/2310.09675 (2023) - [i97]Razan Baltaji, Saurabh Pujar, Louis Mandel, Martin Hirzel, Luca Buratti, Lav R. Varshney:
Learning Transfers over Several Programming Languages. CoRR abs/2310.16937 (2023) - [i96]Babak Hemmatian, Razan Baltaji, Lav R. Varshney:
Muslim-Violence Bias Persists in Debiased GPT Models. CoRR abs/2310.18368 (2023) - [i95]Moulik Choraria, Nitesh Sekhar, Yue Wu, Xu Zhang, Prateek Singhal, Lav R. Varshney:
Language Grounded QFormer for Efficient Vision Language Understanding. CoRR abs/2311.07449 (2023) - 2022
- [i94]Haizi Yu, Igor Mineyev, Lav R. Varshney, James A. Evans:
Learning from One and Only One Shot. CoRR abs/2201.08815 (2022) - [i93]Sourya Basu, Daewon Seo, Lav R. Varshney:
Hypergraph-based Source Codes for Function Computation Under Maximal Distortion. CoRR abs/2204.02586 (2022) - [i92]Xiou Ge, Richard T. Goodwin, Haizi Yu, Pablo Romero, Omar Abdelrahman, Amruta Sudhalkar, Julius Kusuma, Ryan Cialdella, Nishant Garg, Lav R. Varshney:
Accelerated Design and Deployment of Low-Carbon Concrete for Data Centers. CoRR abs/2204.05397 (2022) - [i91]Babak Hemmatian, Lav R. Varshney:
Debiased Large Language Models Still Associate Muslims with Uniquely Violent Acts. CoRR abs/2208.04417 (2022) - [i90]Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das:
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. CoRR abs/2210.06475 (2022) - [i89]Klara Nahrstedt, Naresh R. Shanbhag, Vikram S. Adve, Nancy M. Amato, Romit Roy Choudhury, Carl A. Gunter, Nam Sung Kim, Olgica Milenkovic, Sayan Mitra, Lav R. Varshney, Yurii Vlasov, Sarita V. Adve, Rashid Bashir, Andreas Cangellaris, James DiCarlo, Katie Driggs Campbell, Nick Feamster, Mattia Gazzola, Karrie Karahalios, Sanmi Koyejo, Paul G. Kwiat, Bo Li, Negar Mehr, Ravish Mehra, Andrew Miller, Daniela Rus, Alexander G. Schwing, Anshumali Shrivastava:
Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. CoRR abs/2210.08974 (2022) - 2021
- [i88]Bruno Clerckx, Kaibin Huang, Lav R. Varshney, Sennur Ulukus, Mohamed-Slim Alouini:
Wireless Power Transfer for Future Networks: Signal Processing, Machine Learning, Computing, and Sensing. CoRR abs/2101.04810 (2021) - [i87]Akhil Bhimaraju, Avhishek Chatterjee, Lav R. Varshney:
Mean Extinction Times of Epidemics with State-Dependent Infectiousness. CoRR abs/2103.11330 (2021) - [i86]Amanat Kafizov, Ahmed Elzanaty, Lav R. Varshney, Mohamed-Slim Alouini:
Wireless Network Coding with Intelligent Reflecting Surfaces. CoRR abs/2103.11982 (2021) - [i85]Sourya Basu, Akshayaa Magesh, Harshit Yadav, Lav R. Varshney:
Group Equivariant Neural Architecture Search via Group Decomposition and Reinforcement Learning. CoRR abs/2104.04848 (2021) - [i84]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR abs/2106.03357 (2021) - [i83]Ian George, Xinan Chen, Lav R. Varshney:
Limits of Detecting Extraterrestrial Civilizations. CoRR abs/2107.09794 (2021) - [i82]Jonathan Kern, Elsa Dupraz, Abdeldjalil Aïssa-El-Bey, Lav R. Varshney, François Leduc-Primeau:
Optimizing the Energy Efficiency of Unreliable Memories for Quantized Kalman Filtering. CoRR abs/2109.01520 (2021) - [i81]Moulik Choraria, Ibtihal Ferwana, Ankur Mani, Lav R. Varshney:
Balancing Fairness and Robustness via Partial Invariance. CoRR abs/2112.09346 (2021) - 2020
- [i80]Ravi Kiran Raman, Lav R. Varshney:
Finite-Sample Analysis of Image Registration. CoRR abs/2001.03869 (2020) - [i79]Donya Ghavidel Dobakhshari, Lav R. Varshney, Vijay Gupta:
A Game-Theoretic Approach to a Task Delegation Problem. CoRR abs/2001.04897 (2020) - [i78]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Limits of Detecting Text Generated by Large-Scale Language Models. CoRR abs/2002.03438 (2020) - [i77]Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. CoRR abs/2003.02498 (2020) - [i76]Haizi Yu, Heinrich Taube, James A. Evans, Lav R. Varshney:
Human Evaluation of Interpretability: The Case of AI-Generated Music Knowledge. CoRR abs/2004.06894 (2020) - [i75]Samson Tan, Shafiq R. Joty, Lav R. Varshney, Min-Yen Kan:
Mind Your Inflections! Improving NLP for Non-Standard English with Base-Inflection Encoding. CoRR abs/2004.14870 (2020) - [i74]Venkata Sriram Siddhardh Nadendla, Lav R. Varshney:
A Difficulty in Controlling Blockchain Mining Costs via Cryptopuzzle Difficulty. CoRR abs/2005.05521 (2020) - [i73]Ankur Mani, Lav R. Varshney, Alex Pentland:
Quantization Games on Social Networks and Language Evolution. CoRR abs/2006.00584 (2020) - [i72]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR abs/2006.15222 (2020) - [i71]Sourya Basu, Govardana Sachitanandam Ramachandran, Nitish Shirish Keskar, Lav R. Varshney:
Mirostat: A Perplexity-Controlled Neural Text Decoding Algorithm. CoRR abs/2007.14966 (2020) - [i70]Lav R. Varshney:
Respect for Human Autonomy in Recommender Systems. CoRR abs/2009.02603 (2020) - [i69]Pushpendra Rana, Lav R. Varshney:
Planting trees at the right places: Recommending suitable sites for growing trees using algorithm fusion. CoRR abs/2009.08002 (2020) - [i68]Huozhi Zhou, Jinglin Chen, Lav R. Varshney, Ashish Jagmohan:
Nonstationary Reinforcement Learning with Linear Function Approximation. CoRR abs/2010.04244 (2020) - [i67]Lav R. Varshney, Nazneen Fatema Rajani, Richard Socher:
Explaining Creative Artifacts. CoRR abs/2010.07126 (2020) - [i66]Taha Ameen ur Rahman, Alton S. Barbehenn, Xinan Chen, Hassan Dbouk, James A. Douglas, Yuncong Geng, Ian George, John B. Harvill, Sung Woo Jeon, Kartik K. Kansal, Kiwook Lee, Kelly A. Levick, Bochao Li, Ziyue Li, Yashaswini Murthy, Adarsh Muthuveeru-Subramaniam, S. Yagiz Olmez, Matthew J. Tomei, Tanya Veeravalli, Xuechao Wang, Eric A. Wayman, Fan Wu, Peng Xu, Shen Yan, Heling Zhang, Yibo Zhang, Yifan Zhang, Yibo Zhao, Sourya Basu, Lav R. Varshney:
The Twelvefold Way of Non-Sequential Lossless Compression. CoRR abs/2011.04069 (2020) - [i65]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. CoRR abs/2012.03900 (2020) - [i64]Lingda Wang, Bingcong Li, Huozhi Zhou, Georgios B. Giannakis, Lav R. Varshney, Zhizhen Zhao:
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations. CoRR abs/2012.05756 (2020) - 2019
- [i63]Sakshi Agarwal, Lav R. Varshney:
Limits of Deepfake Detection: A Robust Estimation Viewpoint. CoRR abs/1905.03493 (2019) - [i62]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
Error Exponent Bounds for the Bee-Identification Problem. CoRR abs/1905.07868 (2019) - [i61]Xiou Ge, Richard T. Goodwin, Jeremy R. Gregory, Randolph E. Kirchain, Joana Maria, Lav R. Varshney:
Accelerated Discovery of Sustainable Building Materials. CoRR abs/1905.08222 (2019) - [i60]Daewon Seo, Avhishek Chatterjee, Lav R. Varshney:
On Multiple-Access Systems with Queue-Length Dependent Service Quality. CoRR abs/1905.13099 (2019) - [i59]Daewon Seo, Anas Chaaban, Lav R. Varshney, Mohamed-Slim Alouini:
Classes of Full-Duplex Channels with Capacity Achieved Without Adaptation. CoRR abs/1908.04327 (2019) - [i58]Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim:
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. CoRR abs/1908.10402 (2019) - [i57]Lav R. Varshney, Nitish Shirish Keskar, Richard Socher:
Pretrained AI Models: Performativity, Mobility, and Change. CoRR abs/1909.03290 (2019) - [i56]Yongjune Kim, Yuval Cassuto, Lav R. Varshney:
Boosting Classifiers with Noisy Inference. CoRR abs/1909.04766 (2019) - [i55]Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher:
CTRL: A Conditional Transformer Language Model for Controllable Generation. CoRR abs/1909.05858 (2019) - [i54]Lingda Wang, Huozhi Zhou, Bingcong Li, Lav R. Varshney, Zhizhen Zhao:
Be Aware of Non-Stationarity: Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits. CoRR abs/1909.05886 (2019) - [i53]Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. CoRR abs/1909.07881 (2019) - [i52]Haizi Yu, Igor Mineyev, Lav R. Varshney:
Orbit Computation for Atomically Generated Subgroups of Isometries of Zn. CoRR abs/1910.01317 (2019) - [i51]Sourya Basu, Daewon Seo, Lav R. Varshney:
Functional Epsilon Entropy. CoRR abs/1910.08276 (2019) - [i50]Anshoo Tandon, Vincent Y. F. Tan, Lav R. Varshney:
On the Bee-Identification Error Exponent with Absentee Bees. CoRR abs/1910.10333 (2019) - [i49]Lavanya Marla, Lav R. Varshney, Devavrat Shah, Nirmal A. Prakash, Michael E. Gale:
Short and Wide Network Paths. CoRR abs/1911.00344 (2019) - [i48]Daewon Seo, Ravi Kiran Raman, Lav R. Varshney:
Social Learning with Beliefs in a Parallel Network. CoRR abs/1912.12284 (2019) - 2018
- [i47]Sourya Basu, Lav R. Varshney:
Universal and Succinct Source Coding of Deep Neural Networks. CoRR abs/1804.02800 (2018) - [i46]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Multicasting Energy and Information Simultaneously. CoRR abs/1806.11271 (2018) - [i45]Daewon Seo, Lav R. Varshney:
Information and Energy Transfer with Experimentally-Sampled Harvesting Functions. CoRR abs/1807.06493 (2018) - [i44]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Are RLL Codes Suitable for Simultaneous Energy and Information Transfer? CoRR abs/1807.09040 (2018) - [i43]Haizi Yu, Igor Mineyev, Lav R. Varshney:
A Group-Theoretic Approach to Abstraction: Hierarchical, Interpretable, and Task-Free Clustering. CoRR abs/1807.11167 (2018) - [i42]Daewon Seo, Lav R. Varshney:
The CEO Problem with rth Power of Difference and Logarithmic Distortions. CoRR abs/1812.00903 (2018) - [i41]Daewon Seo, Ravi Kiran Raman, Joong Bum Rhim, Vivek K. Goyal, Lav R. Varshney:
Beliefs and Expertise in Sequential Decision Making. CoRR abs/1812.04419 (2018) - 2017
- [i40]Ting-Yi Wu, Lav R. Varshney, Vincent Y. F. Tan:
Communication over a Channel that Wears Out. CoRR abs/1701.01474 (2017) - [i39]Ravi Kiran Raman, Lav R. Varshney:
Universal Joint Image Clustering and Registration using Partition Information. CoRR abs/1701.02776 (2017) - [i38]Shashi Shekhar, Joe Colletti, Francisco Muñoz-Arriola, Lakshmish Ramaswamy, Chandra Krintz, Lav R. Varshney, Debra J. Richardson:
Intelligent Infrastructure for Smart Agriculture: An Integrated Food, Energy and Water System. CoRR abs/1705.01993 (2017) - [i37]Masahiro Kazama, Minami Sugimoto, Chizuru Hosokawa, Keisuke Matsushima, Lav R. Varshney, Yoshiki Ishikawa:
Sukiyaki in French style: A novel system for transformation of dietary patterns. CoRR abs/1705.03487 (2017) - [i36]Mehmet A. Donmez, Maxim Raginsky, Andrew C. Singer, Lav R. Varshney:
Cost-Performance Tradeoffs in Fusing Unreliable Computational Units. CoRR abs/1705.07779 (2017) - [i35]Haizi Yu, Tianxi Li, Lav R. Varshney:
Probabilistic Rule Realization and Selection. CoRR abs/1709.01674 (2017) - [i34]Yongjune Kim, Mingu Kang, Lav R. Varshney, Naresh R. Shanbhag:
Generalized Water-filling for Source-Aware Energy-Efficient SRAMs. CoRR abs/1710.07153 (2017) - [i33]Ravi Kiran Raman, Lav R. Varshney:
Dynamic Distributed Storage for Scaling Blockchains. CoRR abs/1711.07617 (2017) - [i32]Ting-Yi Wu, Anshoo Tandon, Lav R. Varshney, Mehul Motani:
Skip-Sliding Window Codes. CoRR abs/1711.09494 (2017) - 2016
- [i31]Avhishek Chatterjee, Michael Borokhovich, Lav R. Varshney, Sriram Vishwanath:
Efficient and Flexible Crowdsourcing of Specialized Tasks with Precedence Constraints. CoRR abs/1601.04094 (2016) - [i30]Qunwei Li, Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Multi-object Classification via Crowdsourcing with a Reject Option. CoRR abs/1602.00575 (2016) - [i29]Avhishek Chatterjee, Daewon Seo, Lav R. Varshney:
Capacity of Systems with Queue-Length Dependent Service Quality. CoRR abs/1603.01675 (2016) - [i28]Linjia Chang, Avhishek Chatterjee, Lav R. Varshney:
Performance of LDPC Decoders with Missing Connections. CoRR abs/1605.00317 (2016) - [i27]Aseem Sharma, Krishna P. Jagannathan, Lav R. Varshney:
Queuing Approaches to Principal-Agent Communication under Information Overload. CoRR abs/1605.00802 (2016) - [i26]Haizi Yu, Lav R. Varshney, Guy E. Garnett, Ranjitha Kumar:
Learning Interpretable Musical Compositional Rules and Traces. CoRR abs/1606.05572 (2016) - [i25]Avhishek Chatterjee, Lav R. Varshney:
Energy-Reliability Limits in Nanoscale Circuits. CoRR abs/1607.03572 (2016) - [i24]Ravi Kiran Raman, Lav R. Varshney:
Universal Clustering via Crowdsourcing. CoRR abs/1610.02276 (2016) - 2015
- [i23]Mina Karzand, Lav R. Varshney:
Communication Strategies for Low-Latency Trading. CoRR abs/1504.07227 (2015) - [i22]Anshoo Tandon, Mehul Motani, Lav R. Varshney:
Subblock-Constrained Codes for Real-Time Simultaneous Energy and Information Transfer. CoRR abs/1506.00213 (2015) - [i21]Jeffrey G. Andrews, Alexandros G. Dimakis, Lara Dolecek, Michelle Effros, Muriel Médard, Olgica Milenkovic, Andrea Montanari, Sriram Vishwanath, Edmund M. Yeh, Randall Berry, Ken R. Duffy, Soheil Feizi, Saul Kato, Manolis Kellis, Stuart Licht, Jon Sorenson, Lav R. Varshney, Haris Vikalo:
A Perspective on Future Research Directions in Information Theory. CoRR abs/1507.05941 (2015) - [i20]Avhishek Chatterjee, Lav R. Varshney, Sriram Vishwanath:
Work Capacity of Freelance Markets: Fundamental Limits and Decentralized Schemes. CoRR abs/1508.00023 (2015) - 2014
- [i19]Amin Karbasi, Amir Hesam Salavati, Amin Shokrollahi, Lav R. Varshney:
Noise Facilitation in Associative Memories of Exponential Capacity. CoRR abs/1403.3305 (2014) - [i18]Lav R. Varshney, Shivali Agarwal, Yi-Min Chee, Renuka Sindhgatta, Daniel V. Oppenheim, Juhnyoung Lee, Krishna Ratakonda:
Cognitive Coordination of Global Service Delivery. CoRR abs/1406.0215 (2014) - [i17]Aditya Vempaty, Lav R. Varshney:
The Non-Regular CEO Problem. CoRR abs/1408.0573 (2014) - [i16]Kush R. Varshney, Lav R. Varshney:
Olfactory Signals and Systems. CoRR abs/1410.4865 (2014) - 2013
- [i15]Kush R. Varshney, Lav R. Varshney:
Optimal Grouping for Group Minimax Hypothesis Testing. CoRR abs/1307.6512 (2013) - [i14]Kush R. Varshney, Lav R. Varshney, Jun Wang, Daniel Myers:
Flavor Pairing in Medieval European Cuisine: A Study in Cooking with Dirty Data. CoRR abs/1307.7982 (2013) - [i13]Aditya Vempaty, Lav R. Varshney, Pramod K. Varshney:
Reliable Crowdsourcing for Multi-Class Labeling using Coding Theory. CoRR abs/1309.3330 (2013) - [i12]Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, Yi-Min Chee:
A Big Data Approach to Computational Creativity. CoRR abs/1311.1213 (2013) - 2012
- [i11]Lav R. Varshney:
Toward a Comparative Cognitive History: Archimedes and D. H. J. Polymath. CoRR abs/1204.3534 (2012) - 2011
- [i10]Lav R. Varshney, Sanjoy K. Mitter, Vivek K. Goyal:
Channels That Die. CoRR abs/1106.2055 (2011) - [i9]Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal:
Quantization of Prior Probabilities for Collaborative Distributed Hypothesis Testing. CoRR abs/1109.2567 (2011) - 2009
- [i8]Ha Q. Nguyen, Lav R. Varshney, Vivek K. Goyal:
Concentric Permutation Source Codes. CoRR abs/0909.0704 (2009) - [i7]Ha Q. Nguyen, Vivek K. Goyal, Lav R. Varshney:
Frame Permutation Quantization. CoRR abs/0909.1599 (2009) - 2008
- [i6]Kush R. Varshney, Lav R. Varshney:
Quantization of Prior Probabilities for Hypothesis Testing. CoRR abs/0805.4338 (2008) - [i5]Lav R. Varshney:
Performance of LDPC Codes Under Faulty Iterative Decoding. CoRR abs/0806.1215 (2008) - [i4]Lav R. Varshney, Julius Kusuma, Vivek K. Goyal:
Malleable Coding: Compressed Palimpsests. CoRR abs/0806.4722 (2008) - [i3]Julius Kusuma, Lav R. Varshney, Vivek K. Goyal:
Malleable Coding with Fixed Segment Reuse. CoRR abs/0809.0737 (2008) - [i2]Vinith Misra, Vivek K. Goyal, Lav R. Varshney:
Distributed Functional Scalar Quantization: High-Resolution Analysis and Extensions. CoRR abs/0811.3617 (2008) - 2007
- [i1]Lav R. Varshney, Vivek K. Goyal:
Benefiting from Disorder: Source Coding for Unordered Data. CoRR abs/0708.2310 (2007)
Coauthor Index
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